Weekly archive

New local AI models, Sep 22–28, 2025

8 open models released Sep 22–28, 2025, with how each runs on five reference devices.

  1. DeepSeek V3.1 Terminus

    DeepSeek · LLM · 685B (37.0B active) ·

    76Great quality (A) · 76 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  2. HunyuanImage 3.0 (80B-A13B)

    Tencent · Image · 83.0B ·

    90Excellent quality (A+) · 90 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  3. Qwen3-VL 235B-A22B Instruct

    Alibaba · LLM · 236B (22.0B active) ·

    84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  4. Qwen3Guard Gen 8B

    Alibaba · Decision · 8.2B ·

    86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  5. Qwen3Guard Gen 4B

    Alibaba · Decision · 4.4B ·

    83Great quality (A) · 83 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  6. Qwen3Guard Gen 0.6B

    Alibaba · Decision · 750M ·

    74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  7. Apriel 1.5 15B Thinker

    ServiceNow · LLM · 15B ·

    71Great quality (A) · 71 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  8. LFM2 2.6B

    Liquid AI · LLM · 2.6B ·

    34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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